Energy-saving methodology for material handling applications
This paper presents an energy saving approach to the problem of order picking in warehousing environment, which is directly related to the well-known Traveling Salesman Problem (TSP). While the available heuristic algorithms for the order-picking problem search for the route that minimizes the trave...
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Published in | Applied energy Vol. 83; no. 10; pp. 1116 - 1124 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Oxford
Elsevier Ltd
01.10.2006
Elsevier Science Elsevier |
Series | Applied Energy |
Subjects | |
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Abstract | This paper presents an energy saving approach to the problem of order picking in warehousing environment, which is directly related to the well-known Traveling Salesman Problem (TSP). While the available heuristic algorithms for the order-picking problem search for the route that minimizes the travel time, here the problem is addressed from the energy saving point of view. In a few words, the least energy-consuming route is identified in order to quantify the trade off in time and energy between the fastest route and the most energy economic one. Keeping in mind that often energy is as important as time, especially during a low-demand period, the current paper sheds some light into a two dimensional way of addressing the warehouse material handling problem, which saves time as well as energy. A very interesting finding is that a relatively small loss of service time in many cases may lead to a significant decrease of consumed energy without any additional cost. |
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AbstractList | This paper presents an energy saving approach to the problem of order picking in warehousing environment, which is directly related to the well-known Traveling Salesman Problem (TSP). While the available heuristic algorithms for the order-picking problem search for the route that minimizes the travel time, here the problem is addressed from the energy saving point of view. In a few words, the least energy-consuming route is identified in order to quantify the trade off in time and energy between the fastest route and the most energy economic one. Keeping in mind that often energy is as important as time, especially during a low-demand period, the current paper sheds some light into a two dimensional way of addressing the warehouse material handling problem, which saves time as well as energy. A very interesting finding is that a relatively small loss of service time in many cases may lead to a significant decrease of consumed energy without any additional cost. The energy saving approach to the problem of order picking in warehousing environment, which is directly related to the well-known Traveling Salesman Problem (TSP), is presented. While the available heuristic algorithms for the order-picking problem search for the route that minimizes the travel time, here the problem is addressed from the energy saving point of view. In a few words, the least energy-consuming route is identified in order to quantify the trade off in time and energy between the fastest route and the most energy economic one. A very interesting finding is that a relatively small loss of service time in many cases may lead to a significant decrease of consumed energy without any additional cost. |
Author | Makris, P.A. Provatidis, C.G. Makri, A.P. |
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Cites_doi | 10.1016/S0377-2217(99)00020-X 10.1016/S0307-904X(02)00137-3 10.1016/S0360-8352(02)00058-X 10.1080/07408179008964179 10.1016/0167-6377(82)90012-8 |
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Keywords | Energy saving Warehouse Order picking Energy consumption Methodology Energy conservation Heuristic approach Algorithm Application Handling |
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References | Munzebrock, Persico (bib6) 1994; 44 Bozer, Schorn, Sharp (bib5) 1990; 22 Bartoldi, Platzman (bib8) 1983; 1 Stewart jr W. A computationally efficient heuristic for the travelling salesman problem. In: Proceedings of the 13th Annual Meeting of Southeastern TINS, South Carolina, 1977, p. 75–83. Makris, Giakoumakis (bib4) 2003; 27 Rouwenhorst, Reuter, Stockrahm, van Houtum, Mantel, Zijm (bib1) 2000; 122 Hwang, Moon, Gen (bib2) 2002; 42 Gudehus (bib7) 1973 . 10.1016/j.apenergy.2005.11.005_bib9 Hwang (10.1016/j.apenergy.2005.11.005_bib2) 2002; 42 Bartoldi (10.1016/j.apenergy.2005.11.005_bib8) 1983; 1 Makris (10.1016/j.apenergy.2005.11.005_bib4) 2003; 27 Rouwenhorst (10.1016/j.apenergy.2005.11.005_bib1) 2000; 122 Gudehus (10.1016/j.apenergy.2005.11.005_bib7) 1973 Munzebrock (10.1016/j.apenergy.2005.11.005_bib6) 1994; 44 10.1016/j.apenergy.2005.11.005_bib3 Bozer (10.1016/j.apenergy.2005.11.005_bib5) 1990; 22 |
References_xml | – year: 1973 ident: bib7 article-title: Principles of order picking: operations in distribution and warehousing systems contributor: fullname: Gudehus – volume: 42 start-page: 249 year: 2002 end-page: 258 ident: bib2 article-title: An integrated model for the design of end-of-aisle order picking system and the determination of unit load sizes of AGVs publication-title: Comput Ind Eng contributor: fullname: Gen – volume: 22 start-page: 238 year: 1990 end-page: 254 ident: bib5 article-title: Geometric approaches to solve the Chebyshev salesman problem publication-title: IIE Trans contributor: fullname: Sharp – volume: 27 start-page: 345 year: 2003 end-page: 358 ident: bib4 article-title: publication-title: Appl Math Model contributor: fullname: Giakoumakis – volume: 122 start-page: 515 year: 2000 end-page: 533 ident: bib1 article-title: Warehouse design and control: framework and literature review publication-title: Eur J Operat Res contributor: fullname: Zijm – volume: 44 start-page: 784 year: 1994 end-page: 787 ident: bib6 article-title: Regalbedingeraete: Optimierung der Antriebssteuerung publication-title: F-H Foerdern Heben contributor: fullname: Persico – volume: 1 start-page: 121 year: 1983 end-page: 125 ident: bib8 article-title: An O(nlogn) planar travelling salesman heuristic based on spacefilling curves publication-title: Operations Research Letters contributor: fullname: Platzman – volume: 122 start-page: 515 year: 2000 ident: 10.1016/j.apenergy.2005.11.005_bib1 article-title: Warehouse design and control: framework and literature review publication-title: Eur J Operat Res doi: 10.1016/S0377-2217(99)00020-X contributor: fullname: Rouwenhorst – year: 1973 ident: 10.1016/j.apenergy.2005.11.005_bib7 contributor: fullname: Gudehus – volume: 27 start-page: 345 year: 2003 ident: 10.1016/j.apenergy.2005.11.005_bib4 article-title: k-Interchange heuristic as an optimization procedure for material handling applications publication-title: Appl Math Model doi: 10.1016/S0307-904X(02)00137-3 contributor: fullname: Makris – volume: 42 start-page: 249 year: 2002 ident: 10.1016/j.apenergy.2005.11.005_bib2 article-title: An integrated model for the design of end-of-aisle order picking system and the determination of unit load sizes of AGVs publication-title: Comput Ind Eng doi: 10.1016/S0360-8352(02)00058-X contributor: fullname: Hwang – volume: 44 start-page: 784 issue: 10 year: 1994 ident: 10.1016/j.apenergy.2005.11.005_bib6 article-title: Regalbedingeraete: Optimierung der Antriebssteuerung publication-title: F-H Foerdern Heben contributor: fullname: Munzebrock – volume: 22 start-page: 238 year: 1990 ident: 10.1016/j.apenergy.2005.11.005_bib5 article-title: Geometric approaches to solve the Chebyshev salesman problem publication-title: IIE Trans doi: 10.1080/07408179008964179 contributor: fullname: Bozer – volume: 1 start-page: 121 issue: 4 year: 1983 ident: 10.1016/j.apenergy.2005.11.005_bib8 article-title: An O(nlogn) planar travelling salesman heuristic based on spacefilling curves publication-title: Operations Research Letters doi: 10.1016/0167-6377(82)90012-8 contributor: fullname: Bartoldi – ident: 10.1016/j.apenergy.2005.11.005_bib9 – ident: 10.1016/j.apenergy.2005.11.005_bib3 |
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Snippet | This paper presents an energy saving approach to the problem of order picking in warehousing environment, which is directly related to the well-known Traveling... The energy saving approach to the problem of order picking in warehousing environment, which is directly related to the well-known Traveling Salesman Problem... |
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SubjectTerms | Applied sciences Energy Energy saving Energy saving Order picking Warehouse Energy. Thermal use of fuels Exact sciences and technology Order picking Rational use of energy: conservation and recovery of energy Warehouse |
Title | Energy-saving methodology for material handling applications |
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